AI SaaS MVP Case Study

NaijaProperty Connect

Impact: +340% User Retention · +45% Leads · <400ms Search Latency

NaijaProperty Connect
Project Overview

Enterprise Product Engineering

Full-stack AI-powered property discovery and valuation marketplace connecting buyers, investors, and verified agents with semantic property search.

Project Details

My Role

Full Stack AI SaaS Engineer

Timeline

4 Weeks (2025)

Niche Industry

Real Estate & PropTech Marketplace

Interactive Video Presentation

Walkthrough Demo

Watch an in-depth walkthrough of the system, code integration details, and production features.

video_walkthrough.mp4
01. The Problem Space

Client Challenge

Chaotic unverified listings, slow manual search filters, and lack of instant valuation analytics led to high bounce rates and lost deal flow.

02. Engineered Outcome

Implemented Solution

Engineered natural language semantic search with pgvector, automated listing copy generation from photos, and verified agent lead routing.

Core Specifications

Key Features Engineered

  • Semantic hybrid vector search allowing conversational search queries.
  • AI property listing generator analyzing uploaded images and amenities.
  • Verified agent dashboard with direct lead management and analytics.
  • Interactive mortgage & valuation calculator.
Core Technology Stack

Technologies Engineered

A listing of the programming languages, database systems, libraries, and frameworks integrated to build this product.

Next.js 15React 19PostgreSQLSupabase (pgvector)FastAPIStripeTailwind CSS
03. Commercial Impact

Outcomes & Metrics

A look at the specific business gains, search indexing speedups, and conversions achieved upon launch.

+340%Search Retention

Session duration on property search

+45%Agent Inquiries

Verified buyer lead submissions

<400msQuery Latency

Sub-second property lookup speed

Engineering Workflow

Development Process

1

Vector Schema Design

Built pgvector embedding pipeline with OpenAI embeddings.

2

Marketplace Engine

Engineered multi-role authentication, agent verifications, and property uploads.

3

Search Optimization

Created hybrid BM25 + dense vector search for accurate neighborhood queries.

4

Production Launch

Deployed on Vercel with Cloudflare edge caching for sub-400ms page loads.

Live Project Gallery & Sandbox Simulator

Visual Interactive Showcase

Explore active frontend screens, database telemetry sync panels, and medical intake logic coded specifically for this case study.

naijaproperty-connect.clement.dev/home
Module Render complete
Client Feedback

“The semantic search and automated property valuation tools Clement built transformed our user engagement metrics overnight.”

Tunde Bakare

Managing Director at NaijaProperty Network

Coordination Linkings

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